Reinforcement Learning with Perturbed Rewards

2 October 2018

Yang Liu

Papers citing "Reinforcement Learning with Perturbed Rewards"

28 / 28 papers shown

Title
Approximation to Deep Q-Network by Stochastic Delay Differential Equations Jianya Lu Yingjun Mo 33 0 0 01 May 2025
TTRL: Test-Time Reinforcement Learning Yuxin Zuo Kaiyan Zhang Li Sheng Li Sheng Ganqu Cui ... Youbang Sun Zhiyuan Ma Lifan Yuan Ning Ding Bowen Zhou OffRL 192 5 0 22 Apr 2025
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing Yanjia Huang Renjie Li Zhengzhong Tu VGen 65 0 0 17 Mar 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 52 14 0 31 Dec 2024
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction Jie Xu Hanbo Zhang Xinghang Li Huaping Liu Xuguang Lan Tao Kong LM&Ro 38 3 0 19 Feb 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 48 4 0 14 Dec 2023
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning Weidong Liu Jiyuan Tu Yichen Zhang Xi Chen OffRL 24 2 0 04 Oct 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 31 1 0 24 Apr 2023
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation Ram Dershan Amir M. Soufi Enayati Zengjie Zhang D. Richert Homayoun Najjaran 32 3 0 12 Apr 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 46 4 0 12 Dec 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 23 5 0 14 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 79 45 0 16 Sep 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 48 35 0 29 May 2022
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise Yoshinari Motokawa T. Sugawara 30 2 0 19 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 24 2 0 22 Mar 2022
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation Yunhan Huang Quanyan Zhu OffRL AAML 42 4 0 11 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 32 0 0 15 Feb 2022
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 28 3 0 08 Nov 2021
A study of first-passage time minimization via Q-learning in heated gridworlds M. A. Larchenko Pavel Osinenko Grigory Yaremenko V. V. Palyulin 26 4 0 05 Oct 2021
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty Yuanchao Xu Amal Feriani Ekram Hossain OffRL 26 4 0 16 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 16 67 0 02 Jul 2021
Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu Andrew Perrault Fei Fang Haipeng Chen Milind Tambe AAML 20 22 0 15 Jun 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 19 6 0 12 Feb 2021
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability Sohee Bae Seungyul Han Y. Sung 30 9 0 14 Dec 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces Wenshuai Zhao Jorge Peña Queralta Qingqing Li Tomi Westerlund 4 6 0 18 Aug 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals Yunhan Huang Quanyan Zhu OffRL AAML 43 84 0 24 Jun 2019